EC-301d · Module 2

Benchmark and Comparison

3 min read

An AI metric without a benchmark is a number. It may be accurate. It may even be impressive. But it communicates nothing to an executive who does not already know what the number should be. "Our AI model achieves 94.2% accuracy" means nothing without an answer to: 94.2% compared to what? Compared to the previous manual process (71%)? Compared to the industry average (89%)? Compared to the target threshold (95%)? Each comparison tells a different story and produces a different decision.

Every data point in an executive chart earns its credibility through comparison. The comparison can be against a prior period ("up from 71% six months ago"), a peer benchmark ("above the industry median of 89%"), an internal target ("approaching the 95% deployment threshold"), or a cost of inaction ("without AI, the manual process costs 3.4x as much per claim"). The comparison is not decoration — it is the context that makes the number meaningful.

Do This

  • Show every metric against at least one benchmark: prior period, target, industry, or peer
  • Label the benchmark explicitly on the chart — never assume the executive knows what the target is
  • Choose the benchmark that makes the most relevant argument for the decision at hand
  • When AI metrics exceed benchmarks, make the delta visible and labeled

Avoid This

  • Present an isolated metric without a reference point ("accuracy: 94.2%")
  • Use a benchmark the executive cannot verify or does not trust without sourcing it
  • Show multiple benchmarks that create contradictory stories and leave the interpretation to the reader
  • Add a benchmark in the speaker notes but not on the chart — if they pre-read the deck, they will not see it